def filteredImageNDMIToMapId(iniDate=None, endDate=None, outCollection=False):
""" """
def calcNDMI(img):
return img.expression('(i.nir - i.swir1) / (i.nir + i.swir1)', {'i': img}).rename(['NDMI'])\
.set('system:time_start',img.get('system:time_start'))
try:
eeCollection = getLandSatMergedCollection().filterDate(
iniDate,
endDate) #ee.ImageCollection(lt4.merge(lt5).merge(le7).merge(lc8))
colorPalette = '0000FE,2E60FD,31B0FD,00FEFE,50FE00,DBFE66,FEFE00,FFBB00,FF6F00,FE0000'
visParams = {
'opacity': 1,
'max': 1,
'min': -1,
'palette': colorPalette
}
if outCollection:
values = eeCollection.map(calcNDMI)
else:
eviImage = ee.Image(eeCollection.map(calcNDMI).mean())
values = imageToMapId(eviImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def getTimeSeriesByIndex(indexName,
scale,
coords=[],
dateFrom=None,
dateTo=None,
reducer=None):
""" """
try:
geometry = None
if isinstance(coords[0], list):
geometry = ee.Geometry.Polygon(coords)
else:
geometry = ee.Geometry.Point(coords)
if (indexName == 'NDVI'):
indexCollection = filteredImageNDVIToMapId(dateFrom, dateTo, True)
elif (indexName == 'EVI'):
indexCollection = filteredImageEVIToMapId(dateFrom, dateTo, True)
elif (indexName == 'EVI2'):
indexCollection = filteredImageEVI2ToMapId(dateFrom, dateTo, True)
elif (indexName == 'NDMI'):
indexCollection = filteredImageNDMIToMapId(dateFrom, dateTo, True)
elif (indexName == 'NDWI'):
indexCollection = filteredImageNDWIToMapId(dateFrom, dateTo, True)
values = indexCollection.getRegion(geometry, scale).getInfo()
out = aggRegion(values)
except EEException as e:
raise GEEException(e.message)
return out
def filteredImageNDWIToMapId(iniDate=None, endDate=None, outCollection=False):
""" """
def calcNDWI(img):
return img.expression('(i.green - i.nir) / (i.green + i.nir)', {'i': img}).rename(['NDWI'])\
.set('system:time_start',img.get('system:time_start'))
try:
eeCollection = getLandSatMergedCollection().filterDate(
iniDate,
endDate) #ee.ImageCollection(lt4.merge(lt5).merge(le7).merge(lc8))
colorPalette = '505050,E8E8E8,00FF33,003300'
visParams = {
'opacity': 1,
'max': 1,
'min': -1,
'palette': colorPalette
}
if outCollection:
values = eeCollection.map(calcNDWI)
else:
eviImage = ee.Image(eeCollection.map(calcNDWI).mean())
values = imageToMapId(eviImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def filteredImageEVI2ToMapId(iniDate=None, endDate=None, outCollection=False):
""" """
def calcEVI2(img):
return img.expression('2.5 * (i.nir - i.red) / (i.nir + 2.4 * i.red + 1)', {'i': img}).rename(['EVI2'])\
.set('system:time_start',img.get('system:time_start'))
try:
eeCollection = getLandSatMergedCollection().filterDate(
iniDate,
endDate) #ee.ImageCollection(lt4.merge(lt5).merge(le7).merge(lc8))
colorPalette = 'F5F5F5,E6D3C5,C48472,B9CF63,94BF3D,6BB037,42A333,00942C,008729,007824,004A16'
visParams = {
'opacity': 1,
'max': 1,
'min': -1,
'palette': colorPalette
}
if outCollection:
values = eeCollection.map(calcEVI2)
else:
eviImage = ee.Image(eeCollection.map(calcEVI2).mean())
values = imageToMapId(eviImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def getAsterMosaic(visParams={}, dateFrom=None, dateTo=None):
""" """
try:
def normalize(image):
""" """
bands = ['B01', 'B02', 'B3N', 'B04', 'B05', 'B10']
coefficients = [
ee.Image(ee.Number(image.get('GAIN_COEFFICIENT_' +
band))).float().rename([band])
for band in bands
]
coefficients = ee.Image.cat(coefficients)
cloudCover = ee.Image(ee.Number(
image.get('CLOUDCOVER'))).float().multiply(-1).add(100).rename(
['cloudCover'])
image = image.select(bands).subtract(1).multiply(coefficients)
image = image.select(
bands, ['green', 'red', 'nir', 'swir1', 'swir2', 'thermal'])
return image.addBands(cloudCover)
collection = ee.ImageCollection('ASTER/AST_L1T_003') \
.filterDate(dateFrom, dateTo) \
.filter(ee.Filter.listContains('ORIGINAL_BANDS_PRESENT', 'B01')) \
.filter(ee.Filter.listContains('ORIGINAL_BANDS_PRESENT', 'B02')) \
.filter(ee.Filter.listContains('ORIGINAL_BANDS_PRESENT', 'B3N')) \
.filter(ee.Filter.listContains('ORIGINAL_BANDS_PRESENT', 'B04')) \
.filter(ee.Filter.listContains('ORIGINAL_BANDS_PRESENT', 'B05')) \
.filter(ee.Filter.listContains('ORIGINAL_BANDS_PRESENT', 'B10')) \
.map(normalize)
mosaic = collection.qualityMosaic('cloudCover')
#visParams = {'bands': 'nir, swir1, red', 'min': 0, 'max': '110, 25, 90', 'gamma': 1.7}
values = imageToMapId(mosaic, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def getImageCollectionAsset(collectionName, visParams={}):
try:
eeCollection = ee.ImageCollection(collectionName)
values = imageToMapId(eeCollection.mosaic(), visParams)
except EEException as e:
raise GEEException(e.message)
return values
def imageToMapId(imageName, visParams={}):
""" """
try:
eeImage = ee.Image(imageName)
mapId = eeImage.getMapId(visParams)
values = {'mapid': mapId['mapid'], 'token': mapId['token']}
except EEException as e:
raise GEEException(e.message)
return values
def imageToMapId(imageName, visParams={}):
""" """
try:
logger.error('******imageToMapId************')
eeImage = ee.Image(imageName)
mapId = eeImage.getMapId(visParams)
logger.error('******imageToMapId complete************')
values = {'mapid': mapId['mapid'], 'token': mapId['token']}
except EEException as e:
raise GEEException(e.message)
return values
def meanImageInMosaicToMapId(collectionName,
visParams={},
dateFrom=None,
dateTo=None):
""" """
try:
eeCollection = ee.ImageCollection(collectionName)
if (dateFrom and dateTo):
eeFilterDate = ee.Filter.date(dateFrom, dateTo)
eeCollection = eeCollection.filter(eeFilterDate)
eeFirstImage = ee.Image(eeCollection.mean())
values = imageToMapId(eeFirstImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def filteredImageByIndexToMapId(iniDate=None, endDate=None, index='ndvi'):
""" """
try:
if (index == 'ndvi'):
values = filteredImageNDVIToMapId(iniDate, endDate)
elif (index == 'evi'):
values = filteredImageEVIToMapId(iniDate, endDate)
elif (index == 'evi2'):
values = filteredImageEVI2ToMapId(iniDate, endDate)
elif (index == 'ndmi'):
values = filteredImageNDMIToMapId(iniDate, endDate)
elif (index == 'ndwi'):
values = filteredImageNDWIToMapId(iniDate, endDate)
except EEException as e:
raise GEEException(e.message)
return values
def getTimeSeriesByCollectionAndIndex(collectionName,
indexName,
scale,
coords=[],
dateFrom=None,
dateTo=None,
reducer=None):
""" """
try:
geometry = None
indexCollection = None
if isinstance(coords[0], list):
geometry = ee.Geometry.Polygon(coords)
else:
geometry = ee.Geometry.Point(coords)
if indexName != None:
indexCollection = ee.ImageCollection(collectionName).filterDate(
dateFrom, dateTo).select(indexName)
else:
indexCollection = ee.ImageCollection(collectionName).filterDate(
dateFrom, dateTo)
def getIndex(image):
""" """
theReducer = None
if (reducer == 'min'):
theReducer = ee.Reducer.min()
elif (reducer == 'max'):
theReducer = ee.Reducer.max()
else:
theReducer = ee.Reducer.mean()
if indexName != None:
indexValue = image.reduceRegion(theReducer, geometry,
scale).get(indexName)
else:
indexValue = image.reduceRegion(theReducer, geometry, scale)
date = image.get('system:time_start')
indexImage = ee.Image().set('indexValue',
[ee.Number(date), indexValue])
return indexImage
indexCollection1 = indexCollection.map(getIndex)
indexCollection2 = indexCollection1.aggregate_array('indexValue')
values = indexCollection2.getInfo()
except EEException as e:
raise GEEException(e.message)
return values
def firstCloudFreeImageInMosaicToMapId(collectionName,
visParams={},
dateFrom=None,
dateTo=None):
""" """
try:
skipCloudMask = False
eeCollection = ee.ImageCollection(collectionName)
if ("b2" not in visParams["bands"].lower()):
skipCloudMask = True
elif ("lc8" in collectionName.lower()):
skipCloudMask = False
elif ("le7" in collectionName.lower()):
skipCloudMask = False
elif ("lt5" in collectionName.lower()):
skipCloudMask = False
else:
skipCloudMask = True
if (dateFrom and dateTo):
eeFilterDate = ee.Filter.date(dateFrom, dateTo)
eeCollection = eeCollection.filter(eeFilterDate)
eeFirstImage = ee.Image(eeCollection.first())
try:
if (skipCloudMask == False):
sID = ''
if ("lc8" in collectionName.lower()):
sID = 'OLI_TIRS'
elif ("le7" in collectionName.lower()):
sID = 'ETM'
elif ("lt5" in collectionName.lower()):
sID = 'TM'
scored = ee.Algorithms.Landsat.simpleCloudScore(
eeFirstImage.set('SENSOR_ID', sID))
mask = scored.select(['cloud']).lte(20)
masked = eeFirstImage.updateMask(mask)
values = imageToMapId(masked, visParams)
else:
values = imageToMapId(eeFirstImage, visParams)
except EEException as ine:
imageToMapId(eeFirstImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def filteredImageInCHIRPSToMapId(dateFrom=None, dateTo=None):
""" """
try:
eeCollection = ee.ImageCollection("UCSB-CHG/CHIRPS/PENTAD")
geometry = ee.Geometry.Point([5.2130126953125, 15.358356179450585])
colorPalette = 'ffffff,307b00,5a9700,86b400,b4cf00,e4f100,ffef00,ffc900,ffa200,ff7f00,ff5500'
visParams = {
'opacity': 1,
'max': 188.79177856445312,
'palette': colorPalette
}
if (dateFrom and dateTo):
eeFilterDate = ee.Filter.date(dateFrom, dateTo)
eeCollection = eeCollection.filterBounds(geometry)
eeCollection = eeCollection.filter(eeFilterDate)
eeFirstImage = ee.Image(eeCollection.mean())
values = imageToMapId(eeFirstImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def filteredImageNDVIToMapId(iniDate=None, endDate=None):
""" """
def calcNDVI(img):
return img.expression('(i.nir - i.red) / (i.nir + i.red)', {'i': img})
try:
eeCollection = getLandSatMergedCollection(
) #ee.ImageCollection(lt4.merge(lt5).merge(le7).merge(lc8))
colorPalette = 'c9c0bf,435ebf,eee8aa,006400'
visParams = {
'opacity': 1,
'max': 1,
'min': -1,
'palette': colorPalette
}
ndviImage = ee.Image(eeCollection.map(calcNDVI).mean())
values = imageToMapId(ndviImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def filteredImageNDWIToMapId(iniDate=None, endDate=None):
""" """
def calcNDWI(img):
return img.expression('(i.green - i.nir) / (i.green + i.nir)',
{'i': img})
try:
eeCollection = getLandSatMergedCollection(
) #ee.ImageCollection(lt4.merge(lt5).merge(le7).merge(lc8))
colorPalette = '505050,E8E8E8,00FF33,003300'
visParams = {
'opacity': 1,
'max': 1,
'min': -1,
'palette': colorPalette
}
eviImage = ee.Image(eeCollection.map(calcNDWI).mean())
values = imageToMapId(eviImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def filteredImageCompositeToMapId(collectionName,
visParams={},
dateFrom=None,
dateTo=None,
metadataCloudCoverMax=90,
simpleCompositeVariable=60):
""" """
try:
logger.error('******filteredImageCompositeToMapId************')
eeCollection = ee.ImageCollection(collectionName)
logger.error('******eeCollection ************')
if (dateFrom and dateTo):
eeFilterDate = ee.Filter.date(dateFrom, dateTo)
eeCollection = eeCollection.filter(eeFilterDate).filterMetadata(
'CLOUD_COVER', 'less_than', metadataCloudCoverMax)
eeMosaicImage = ee.Algorithms.Landsat.simpleComposite(
eeCollection, simpleCompositeVariable, 10, 40, True)
logger.error('******eeMosaicImage************')
values = imageToMapId(eeMosaicImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def filteredImageEVIToMapId(iniDate=None, endDate=None):
""" """
def calcEVI(img):
return img.expression(
'2.5 * (i.nir - i.red) / (i.nir + 6.0 * i.red - 7.5 * i.blue + 1)',
{'i': img})
try:
eeCollection = getLandSatMergedCollection(
) #ee.ImageCollection(lt4.merge(lt5).merge(le7).merge(lc8))
colorPalette = 'F5F5F5,E6D3C5,C48472,B9CF63,94BF3D,6BB037,42A333,00942C,008729,007824,004A16'
visParams = {
'opacity': 1,
'max': 1,
'min': -1,
'palette': colorPalette
}
eviImage = ee.Image(eeCollection.map(calcEVI).mean())
values = imageToMapId(eviImage, visParams)
except EEException as e:
raise GEEException(e.message)
return values
def getLandSatMergedCollection():
eeCollection = None
try:
sensorBandDictLandsatTOA = {
'L8': [1, 2, 3, 4, 5, 9, 6],
'L7': [0, 1, 2, 3, 4, 5, 7],
'L5': [0, 1, 2, 3, 4, 5, 6],
'L4': [0, 1, 2, 3, 4, 5, 6],
'S2': [1, 2, 3, 7, 11, 10, 12]
}
bandNamesLandsatTOA = [
'blue', 'green', 'red', 'nir', 'swir1', 'temp', 'swir2'
]
metadataCloudCoverMax = 100
#region = ee.Geometry.Point([5.2130126953125,15.358356179450585])
#.filterBounds(region).filterDate(iniDate,endDate)\
lt4 = ee.ImageCollection('LANDSAT/LT4_L1T_TOA')\
.filterMetadata('CLOUD_COVER','less_than',metadataCloudCoverMax)\
.select(sensorBandDictLandsatTOA['L4'],bandNamesLandsatTOA).map(lsMaskClouds)
lt5 = ee.ImageCollection('LANDSAT/LT5_L1T_TOA')\
.filterMetadata('CLOUD_COVER','less_than',metadataCloudCoverMax)\
.select(sensorBandDictLandsatTOA['L5'],bandNamesLandsatTOA).map(lsMaskClouds)
le7 = ee.ImageCollection('LANDSAT/LE7_L1T_TOA')\
.filterMetadata('CLOUD_COVER','less_than',metadataCloudCoverMax)\
.select(sensorBandDictLandsatTOA['L7'],bandNamesLandsatTOA).map(lsMaskClouds)
lc8 = ee.ImageCollection('LANDSAT/LC8_L1T_TOA')\
.filterMetadata('CLOUD_COVER','less_than',metadataCloudCoverMax)\
.select(sensorBandDictLandsatTOA['L8'],bandNamesLandsatTOA).map(lsMaskClouds)
s2 = ee.ImageCollection('COPERNICUS/S2')\
.filterMetadata('CLOUDY_PIXEL_PERCENTAGE','less_than',metadataCloudCoverMax)\
.map(s2MaskClouds).select(sensorBandDictLandsatTOA['S2'],bandNamesLandsatTOA)\
.map(bandPassAdjustment)
eeCollection = ee.ImageCollection(
lt4.merge(lt5).merge(le7).merge(lc8).merge(s2))
except EEException as e:
raise GEEException(e.message)
return eeCollection
def getNdviChange(visParams={}, yearFrom=None, yearTo=None):
""" """
try:
def map1(image):
""" """
return addBands(image, ee.List(['B4', 'B8A', 'B11'])).updateMask(
image.select('QA60').lt(1024))
def map2(image):
""" """
return addBands(image, ee.List(['B4', 'B5', 'B6'])).updateMask(
landsatCollection1Mask(image))
def map3(image):
""" """
return addBands(image, ee.List(['B3', 'B4', 'B5'])).updateMask(
landsatCollection1Mask(image))
def map4(image):
""" """
return addBands(image, ee.List(['B3', 'B4', 'B5'])).updateMask(
image.select('fmask').lt(2))
def maxNdvi(year):
""" """
from1 = ee.Date.fromYMD(int(year), 1, 1)
to = ee.Date.fromYMD(int(year) + 1, 1, 1)
s2 = ee.ImageCollection('COPERNICUS/S2').filterDate(from1,
to).map(map1)
l8 = ee.ImageCollection('LANDSAT/LC08/C01/T1_TOA').filterDate(
from1, to).map(map2)
l7 = ee.ImageCollection('LANDSAT/LE07/C01/T1_TOA').filterDate(
from1, to).map(map3)
l5 = ee.ImageCollection('LANDSAT/LT5_L1T_TOA_FMASK').filterDate(
from1, to).map(map4)
return ee.ImageCollection(s2.merge(l8).merge(l7).merge(l5)).max()
def addBands(image, bands):
""" """
return image.select(bands,
['red', 'nir', 'swir1']).normalizedDifference(
['nir', 'red']).rename(['ndvi'])
def landsatCollection1Mask(image):
""" """
def is_set(types):
""" """
typeByValue = {
'badPixels': 15,
'cloud': 16,
'shadow': 256,
'snow': 1024,
'cirrus': 4096
}
any_set = ee.Image(0)
for type in types:
any_set = any_set.Or(
image.select('BQA').bitwiseAnd(
typeByValue[type]).neq(0))
return any_set
return is_set(['badPixels', 'cloud', 'shadow', 'cirrus']).Not()
def change(year1, year2):
""" """
ndvi1 = maxNdvi(year1)
ndvi2 = maxNdvi(year2)
change = ndvi2.select('ndvi').subtract(ndvi1.select('ndvi')) \
.updateMask(ee.Image('MODIS/MOD44W/MOD44W_005_2000_02_24').select('water_mask').Not())
return change
values = imageToMapId(change(yearFrom, yearTo), visParams)
except EEException as e:
raise GEEException(e.message)
return values
def getTimeSeriesByIndex(indexName, scale, coords=[]):
""" """
try:
geometry = None
if isinstance(coords[0], list):
geometry = ee.Geometry.Polygon(coords)
else:
geometry = ee.Geometry.Point(coords)
bands = ['blue', 'green', 'red', 'nir', 'swir1', 'swir2', 'cfmask']
bandsByCollection = {
'LANDSAT/LC8_SR': ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'cfmask'],
'LANDSAT/LC8_SR': ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'cfmask'],
'LANDSAT/LE7_SR': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7', 'cfmask'],
'LANDSAT/LT5_SR': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7', 'cfmask'],
'LANDSAT/LT4_SR': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7', 'cfmask']
}
indexes = {
'NDVI': '(i.nir - i.red) / (i.nir + i.red)',
'EVI':
'2.5 * (i.nir - i.red) / (i.nir + 6.0 * i.red - 7.5 * i.blue + 1)',
'EVI2': '2.5 * (i.nir - i.red) / (i.nir + 2.4 * i.red + 1)',
'NDMI': '(i.nir - i.swir1) / (i.nir + i.swir1)',
'NDWI': '(i.green - i.nir) / (i.green + i.nir)'
}
def getExpression(image):
""" """
time = ee.Number(image.get('system:time_start'))
image = image.select(bandsByCollection[collectionName],
bands).divide(10000)
return image.expression(indexes[indexName], {
'i': image
}).rename(['index']).addBands(image.select(['cfmask']).add(1)).set(
'system:time_start', time)
def transformRow(row):
""" """
row = ee.List(row)
time = row.get(3)
index = row.get(4)
cfmask = row.get(5)
return ee.Algorithms.If(
cfmask,
ee.Algorithms.If(
ee.Number(cfmask).eq(1), ee.List([time, index]), None),
None)
collectionNames = bandsByCollection.keys()
collectionName = collectionNames[0]
collection = ee.ImageCollection(collectionNames[0]).sort(
'system:time_start').filterBounds(geometry).map(getExpression)
for i, val in enumerate(collectionNames[1:], start=1):
collectionName = collectionNames[i]
collectionToMerge = ee.ImageCollection(collectionNames[i]).sort(
'system:time_start').filterBounds(geometry).map(getExpression)
collection = ee.ImageCollection(
collection.merge(collectionToMerge))
values = ee.ImageCollection(
collection.sort(
'system:time_start').distinct('system:time_start')).getRegion(
geometry, 30).slice(1).map(transformRow).removeAll([None])
values = values.getInfo()
except EEException as e:
raise GEEException(e.message)
return values
def getTimeSeriesByIndex2(indexName,
scale,
coords=[],
dateFrom=None,
dateTo=None):
""" """
bandsByCollection = {
'LANDSAT/LC08/C01/T1_TOA': ['B2', 'B3', 'B4', 'B5', 'B6', 'B7'],
'LANDSAT/LC08/C01/T2_TOA': ['B2', 'B3', 'B4', 'B5', 'B6', 'B7'],
'LANDSAT/LE07/C01/T1_TOA': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'],
'LANDSAT/LE07/C01/T2_TOA': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'],
'LANDSAT/LT05/C01/T1_TOA': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'],
'LANDSAT/LT05/C01/T2_TOA': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'],
'LANDSAT/LT04/C01/T1_TOA': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'],
'LANDSAT/LT04/C01/T2_TOA': ['B1', 'B2', 'B3', 'B4', 'B5', 'B7']
}
indexes = {
'NDVI': '(nir - red) / (nir + red)',
'EVI': '2.5 * (nir - red) / (nir + 6.0 * red - 7.5 * blue + 1)',
'EVI2': '2.5 * (nir - red) / (nir + 2.4 * red + 1)',
'NDMI': '(nir - swir1) / (nir + swir1)',
'NDWI': '(green - nir) / (green + nir)',
'NBR': '(nir - swir2) / (nir + swir2)',
'LSAVI': '((nir - red) / (nir + red + 0.5)) * (1 + 0.5)'
}
def create(name):
""" """
def maskClouds(image):
""" """
def isSet(types):
""" https://landsat.usgs.gov/collectionqualityband """
typeByValue = {
'badPixels': 15,
'cloud': 16,
'shadow': 256,
'snow': 1024,
'cirrus': 4096
}
anySet = ee.Image(0)
for Type in types:
anySet = anySet.Or(
image.select('BQA').bitwiseAnd(
typeByValue[Type]).neq(0))
return anySet
return image.updateMask(
isSet(['badPixels', 'cloud', 'shadow', 'cirrus']).Not())
def toIndex(image):
""" """
bands = bandsByCollection[name]
return image.expression(
indexes[indexName], {
'blue': image.select(bands[0]),
'green': image.select(bands[1]),
'red': image.select(bands[2]),
'nir': image.select(bands[3]),
'swir1': image.select(bands[4]),
'swir2': image.select(bands[5]),
}).clamp(-1, 1).rename(['index'])
def toIndexWithTimeStart(image):
""" """
time = image.get('system:time_start')
image = maskClouds(image)
return toIndex(image).set('system:time_start', time)
#
if dateFrom and dateTo:
return ee.ImageCollection(name).filterDate(
dateFrom,
dateTo).filterBounds(geometry).map(toIndexWithTimeStart, True)
else:
return ee.ImageCollection(name).filterBounds(geometry).map(
toIndexWithTimeStart, True)
def reduceRegion(image):
""" """
reduced = image.reduceRegion(ee.Reducer.median(),
geometry=geometry,
scale=scale,
maxPixels=1e6)
return ee.Feature(
None, {
'index': reduced.get('index'),
'timeIndex':
[image.get('system:time_start'),
reduced.get('index')]
})
try:
geometry = None
if isinstance(coords[0], list):
geometry = ee.Geometry.Polygon(coords)
else:
geometry = ee.Geometry.Point(coords)
collection = ee.ImageCollection([])
for name in bandsByCollection:
collection = collection.merge(create(name))
values = ee.ImageCollection(ee.ImageCollection(collection).sort('system:time_start').distinct('system:time_start'))\
.map(reduceRegion)\
.filterMetadata('index', 'not_equals', None)\
.aggregate_array('timeIndex')
values = values.getInfo()
except EEException as e:
raise GEEException(e.message)
return values
